Accession Number:

ADA164888

Title:

Noise Removal on Radar Imagery Using Local Gradient and Statistics.

Descriptive Note:

Final technical rept. Mar-Jul 84,

Corporate Author:

MNEMONICS INC SALINE MI

Personal Author(s):

Report Date:

1985-09-01

Pagination or Media Count:

52.0

Abstract:

This report shows that the noise-removal algorithm using local gradient and statistics is most favorable to filter a noisy radar image without constrast loss. This report includes the summary of this algorithm with a suggestion of a practical method of estimating a local noise variance. Various noise-removal algorithms are compared with this algorithm based on a visual examination of their filtering results on a set of radar images. The final results of noise removal of the images are displayed along with the originals in the last section. A set of twenty-eight SAR Synthetic aperture radar images, of size 512x512 pixels, for experimentation. Keywords Image blurring Multiplicative noise. Author

Subject Categories:

  • Cybernetics
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE